Published on in Vol 6, No 7 (2018): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9987, first published .
A Novel mHealth Approach for a Patient-Centered Medication and Health Management System in Taiwan: Pilot Study

A Novel mHealth Approach for a Patient-Centered Medication and Health Management System in Taiwan: Pilot Study

A Novel mHealth Approach for a Patient-Centered Medication and Health Management System in Taiwan: Pilot Study

Journals

  1. Huang M. Editorial Comment. International Journal of Gerontology 2018;12(3):169 View
  2. Martyushev-Poklad A, Yankevich D. Patent Landscape of Automated Systems for Personalized Health Management (ASHM): Features, Shortcomings, and Implications for Developing an Optimal ASHM. Frontiers in Digital Health 2021;3 View
  3. García-Berná J, Ouhbi S, Fernández-Alemán J, Carrillo de Gea J, Nicolás J, Moros B, Toval A. A Study on the Relationship between Usability of GUIs and Power Consumption of a PC: The Case of PHRs. International Journal of Environmental Research and Public Health 2021;18(4):1385 View
  4. Capranzano P, Francaviglia B, Sardone A, Agnello F, Valenti N, Frazzetto M, Legnazzi M, Occhipinti G, Scalia L, Calvi V, Capodanno D, Tamburino C. Suitability for elderly with heart disease of a QR code-based feedback of drug intake: Overcoming limitations of current medication adherence telemonitoring systems.. International Journal of Cardiology 2021;327:209 View
  5. Pathiravasan C, Zhang Y, Trinquart L, Benjamin E, Borrelli B, McManus D, Kheterpal V, Lin H, Sardana M, Hammond M, Spartano N, Dunn A, Schramm E, Nowak C, Manders E, Liu H, Kornej J, Liu C, Murabito J. Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study. Journal of Medical Internet Research 2021;23(1):e24773 View
  6. Asensio-Cuesta S, Blanes-Selva V, Conejero J, Frigola A, Portolés M, Merino-Torres J, Rubio Almanza M, Syed-Abdul S, Li Y, Vilar-Mateo R, Fernandez-Luque L, García-Gómez J. A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilot Study. JMIR Medical Informatics 2021;9(4):e17503 View
  7. Wang Y, Lu J, Ye Q, Ji L, Lu Z, Li J, Xu H. Analysis of influencing factors of nurse‐patient disputes based on patient characteristics: A cross‐sectional study. Nursing Open 2022;9(1):245 View
  8. Yi-No Kang E, Chen D, Chen Y. Associations between literacy and attitudes toward artificial intelligence–assisted medical consultations: The mediating role of perceived distrust and efficiency of artificial intelligence. Computers in Human Behavior 2023;139:107529 View
  9. Khanafer N, Oudot S, Planckaert C, Paquin N, Mena C, Mandel N, Chapurlat R, Lombard C, Martin-Gaujard G, Juillard L, Elias C, Janoly-Dumenil A, Jolivot A, Benazzouz M, Maligeay M, Ayala M, Ismail D, Vanhems P. Using ELEFIGHT® QR Codes for Quick Access to Information on Influenza Burden and Prevention: A Pilot Study in Lyon University Hospital. Vaccines 2022;10(10):1591 View
  10. Aguiar M, Trujillo M, Chaves D, Álvarez R, Epelde G. mHealth Apps Using Behavior Change Techniques to Self-report Data: Systematic Review. JMIR mHealth and uHealth 2022;10(9):e33247 View
  11. Rivera-Romero O, Gabarron E, Ropero J, Denecke K. Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics 2023;146:104500 View